CONCERNING A CONJECTURE OF MARSHALL HALL

Size: px
Start display at page:

Download "CONCERNING A CONJECTURE OF MARSHALL HALL"

Transcription

1 CONCERNING A CONJECTURE OF MARSHALL HALL RICHARD SINKHORN Introdction. An «X«matrix A is said to be dobly stochastic if Oij; = and if ï i aik = jj_i akj = 1 for all i and j. The set of «X«dobly stochastic matrices is denoted by fi. The permanent of an «X«matrix A is defined by n per A = II «*»«) a i-1 where the sm is taken over all permtations a of 1,, «. An nresolved conjectre of B. L. Van der Waerden states that the minimal vale of the permanent of the «X«dobly stochastic matrices is «!/«" and is niqely achieved at the matrix Jn in which every element is 1/«. Marshall Hall has made the following observation. Let A denote the collection of «X«(, l)-matrices (i.e. those for which every element is either or 1) which have exactly three ones in each row and each colmn. If A QAn, then \A QQ.n, and ths if the Van der Waerden conjectre is correct, per \A^n\/nn, i.e. per A _3"w!/«n. Ths, in particlar and therefore Inf per A = 3n«!/«n, AEA (1) lim ( Inf per A 1= + <*. n->» \A6An / Marshall Hall conjectres therefore that (1) holds. It is the prpose of this paper to show that the Hall conjectre is correct independent of the correctness of the van der Waerden conjectre. The following notations and definitions will be sed. An «X«matrix A is said to be partly decomposable if there exist permtation matrices P and Q sch that PAQ has the form where B and D are sqare. If no sch P and Q exist, the matrix is said to be flly indecomposable. If A is flly indecomposable, bt is sch that if any single a.y^o in A is replaced by the reslting Presented to the Society, Agst 3, 1968; received by the editors Janary 19,

2 198 RICHARD SINKHORN [April matrix becomes partly decomposable, then A is said to be nearly decomposable. An important theorem concerning nearly decomposable matrices follows. A proof may be fond in [2]. Theorem 1. Let A be a nonnegative nxn nearly decomposable (, 1)- matrix where «> 1. Then there exist permtation matrices P and Q and an integer s>\ sch that (2) PAQ = \Ai E2 A2 E3 A, (i Fi) 7,_i A,-i E, A,] where each Ei has exactly one entry eqal to 1 and each Ai is nearly decomposable. A set of elements aiff(i),, an<,(n) in an «X«matrix.4, where a isa permtation of 1,, w, is called a diagonal of A. Reslts and conseqences. Lemma 1. Let be a positive integer and sppose that Vi S; v2 ^ ^d^3. Then n v>< - «- e v* +1 ^ o. Proof. The reslt holds for = 1. If it holds for, then JI vt ( + i) Ev* + i = z'«+i IT "*-i-e»* ni=l > t=l *=1,1+ii«+ E»* i) +1 E * completing the indction. = (»+i 1)«+ (»«+1 1) E ^* 2î>«+i Jr=l ^ 2«+ 2z) 2z> +i è 2«2 >, Lemma 2. Leí w,, area q be integers where ^i and O^p^q, and sppose that Vi^v-i^ ^v^3. Then

3 1969] CONCERNING A CONJECTURE OF MARSHALL HALL 199 and 1+2»3«-» n»* = «+ 3? + B*. i=l Proof. Pt /(x) = 2*n"-ií'*-M-3*- E"-i»*+l- BY Lemma 1, /(o) = n»*-«-»*+i^o i-1 k~l /(i) = 2n»*-«-3-E»*+i= /(o)+( n»*- 3 ) = o. Jb=l /fc-1 \ fc=l / If arel, /'(*) = 2*( n^jln 2-3 è 2-3 In 2-3 = 3(ln 4-1) >. Ths/(x)^/(l)= if x=l. Then since 2*3'-* = 2", 2*3»*- «- 3? - Z % + 1 = /(?) =. t-i *=i Lemma 3. Let A be an nxn nearly decomposable (, I)-matrix with at least two and not more than three ones in each row. If at least one row of A contains three ones, then per A = 3. Proof. It follows from the Frobenis-König Theorem [l, pp ] that every positive element in a nonnegative flly indecomposable matrix lies on a positive diagonal. Assme A to be in the form (2). Then some A, is at least 2X2 and therefore has at least two positive diagonals. Whence per ^4,^2. Allowing for at least one positive diagonal of A to pass throgh the P<, we see that per A = 1 + JX*-i Per <=l+2=3. Lemma 4. 7/4«a flly indecomposable (, \)-matrix by 1, the permanent is increased. a zero is replaced Proof. If A is a flly indecomposable (, l)-matrix and if B is obtained from A by replacing a zero by 1, then B is still flly indecomposable. By the Frobenis-König Theorem every 1 in B, inclding the 1 not in A, lies on a positive diagonal. Ths B has at least one more positive diagonal than does A. Hence per P>per A. Theorem 2. Let A be a nearly decomposable nxn (, \)-matrix with m rows containing exactly three ones and n m rows containing exactly two ones. Then per.4 _m.

4 2 RICHARD SINKHORN [April Proof. The proof is by indction on re. We mst have re^2, and if» = 2, then m = Q and the reslt holds. In fact, if m =, the reslt holds for all «^ 2 ; whence if «> 2 we sppose that m >. We may assme that A is in the form (2). Since m>, at least one of the ^4<'s mst be larger than 1X1. Sppose that Ailt, Air are at least 2X2 and that each of Aiy, Aip, p^r, has exactly two ones in each row (and ths in each colmn) while Aip+1,, Air have mp+i,, mt rows with three ones, respectively. Note that m = r + Zt-p+i m*' Let mk- 2 for k=p + \,, t, and mk^3 for k = t + l,, r. Then by Lemma 3 and the indction hypothesis, per Ailt^3 for k=p + \,, t and per Ai}>.mk for k = t + l,, r. Since per Aik = 2 for k = \,, p, we have, allowing for at least one positive diagonal throgh the Ei, per A è 1 + Per ^,H r + 2"3<-p Ü mk. *=1 i-t+l The proof will be complete if we show that l+2p3,_i,hi_,+1 mk^r + Et-p+i w*- If í =, then p =, and the reslt is an immediate conseqence of Lemma 1. Hence sppose >. If t = r, the ineqality becomes 1+2P3,_P^/+ Et-p+i mk- We prove this by showing that l+2r3t-r^3t-2p. This is clear for p =. If <p^t, we have 1 + 2*3'-* ^ 1 + 2' > 3/ - 2 è 3/ - 2p. Then since mk^2 ii k = p+l,, t, Ths t E m ^ 2(t - p). t-p+i 1 + 2"3'-" ^t + 2(t-p)^t+ E rnkk=p+l Whence we can assme that r>t. Then by Lemma 2, 1 + 2*3'-' fl mk^(r-t) + 3t+ mk = r »* t í+i *=í+i *=<+i Bt EUï>+i mk^2(t-p)s2t, ii t>p, so r+2i+e*-i+i *»*» + Et-2>+i ^fc- and the reslt follows. Theorem 3. 7/^4 is a flly indecomposable member of A then per A'ïtn. r

5 1969] CONCERNING A CONJECTURE OF MARSHALL HALL 21 Proof. If a certain set of ones in A, k in nmber, are replaced by zeros, there reslts a nearly decomposable matrix A'. The matrix A', being flly indecomposable, has at least two ones in every row (and colmn), and, of corse, no more than three. Ths the k ones were removed from k different rows (and colmns). A' has k rows with exactly two ones and «k rows with exactly three ones. By Theorem 2, per A'^.n k. Bt by Lemma 4, A has at least k more positive diagonals than did A' (one at least for each of the k ones removed). Ths per A _ k + («k) = «. Theorem 4. Inf ea per A =«. Proof. Sppose AQA is partly decomposable. By permting rows and colmns we may sppose that A,-(A' Y \B Aj where Ai is rxr and Ai is («r)x(n r). Then since the row sms of Aa are all 3, the sm of the elements in ^4i is 3r. This is precisely the sm of the elements in Ai and P. Ths P= and in fact A = Ai Ai, where AiQAr and AiQAn-T- Clearly the process can be contined so that PAoQ = Ai Ak for some permtation matrices P and Q, where the Aj are flly indecomposable matrices in A y, j 1,, k. Hence, by Theorem 3, per Aj^nj. Now each row of A has three ones and therefore n^3,,7 = 1,, k, and we have k k k per A = IX per Aj è II wj = E ni = M> y-i i=i y-i where eqality can occr only if k = 1. The Marshall Hall conjectre stated in (1) is now immediate. References 1. Marvin Marcs and Henryk Mine, A srvey of matrix theory and matrix ineqalities, Allyn and Bacon, Boston, Richard Sinkhorn and Pal Knopp, Problems involving diagonal prodcts in nonnegative matrices, Trans. Amer. Math. Soc. 136 (1969), University of Hoston

(1) 0 á per(a) Í f[ U, <=i

(1) 0 á per(a) Í f[ U, <=i ON LOWER BOUNDS FOR PERMANENTS OF (, 1) MATRICES1 HENRYK MINC 1. Introduction. The permanent of an «-square matrix A = (a^) is defined by veria) = cesn n II «"( j. If A is a (, 1) matrix, i.e. a matrix

More information

ON CONSTRUCTING NEARLY DECOMPOSABLE MATRICES D. J. HARTFIEL

ON CONSTRUCTING NEARLY DECOMPOSABLE MATRICES D. J. HARTFIEL proceedings of the american mathematical society Volume 27, No. 2, February 1971 ON CONSTRUCTING NEARLY DECOMPOSABLE MATRICES D. J. HARTFIEL Abstract. In this paper we consider the construction of nearly

More information

A SIMPLIFIED FORM FOR NEARLY REDUCIBLE AND NEARLY DECOMPOSABLE MATRICES D. J. HARTFIEL

A SIMPLIFIED FORM FOR NEARLY REDUCIBLE AND NEARLY DECOMPOSABLE MATRICES D. J. HARTFIEL A SIMPLIFIED FORM FOR NEARLY REDUCIBLE AND NEARLY DECOMPOSABLE MATRICES D. J. HARTFIEL Introduction and definitions. Nearly reducible and nearly decomposable matrices have been discussed in [4], [5], and

More information

NONNEGATIVE MATRICES EACH OF WHOSE POSITIVE DIAGONALS HAS THE SAME SUM

NONNEGATIVE MATRICES EACH OF WHOSE POSITIVE DIAGONALS HAS THE SAME SUM PROCEEDINGS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 59. Number 2, September 1976 NONNEGATIVE MATRICES EACH OF WHOSE POSITIVE DIAGONALS HAS THE SAME SUM MARK blondeau HEDRICK1 Abstract. The author shows

More information

PROBLEMS INVOLVING DIAGONAL PRODUCTS IN NONNEGATIVE MATRICES O

PROBLEMS INVOLVING DIAGONAL PRODUCTS IN NONNEGATIVE MATRICES O PROBLEMS INVOLVING DIAGONAL PRODUCTS IN NONNEGATIVE MATRICES O BY RICHARD SINKHORN AND PAUL KNOPP Introduction and definitions. A conjecture of B. L. van der Waerden states that the minimal value of the

More information

MEAN VALUE ESTIMATES OF z Ω(n) WHEN z 2.

MEAN VALUE ESTIMATES OF z Ω(n) WHEN z 2. MEAN VALUE ESTIMATES OF z Ωn WHEN z 2 KIM, SUNGJIN 1 Introdction Let n i m pei i be the prime factorization of n We denote Ωn by i m e i Then, for any fixed complex nmber z, we obtain a completely mltiplicative

More information

A Note on Johnson, Minkoff and Phillips Algorithm for the Prize-Collecting Steiner Tree Problem

A Note on Johnson, Minkoff and Phillips Algorithm for the Prize-Collecting Steiner Tree Problem A Note on Johnson, Minkoff and Phillips Algorithm for the Prize-Collecting Steiner Tree Problem Palo Feofiloff Cristina G. Fernandes Carlos E. Ferreira José Coelho de Pina September 04 Abstract The primal-dal

More information

A generalized Alon-Boppana bound and weak Ramanujan graphs

A generalized Alon-Boppana bound and weak Ramanujan graphs A generalized Alon-Boppana bond and weak Ramanjan graphs Fan Chng Abstract A basic eigenvale bond de to Alon and Boppana holds only for reglar graphs. In this paper we give a generalized Alon-Boppana bond

More information

B-469 Simplified Copositive and Lagrangian Relaxations for Linearly Constrained Quadratic Optimization Problems in Continuous and Binary Variables

B-469 Simplified Copositive and Lagrangian Relaxations for Linearly Constrained Quadratic Optimization Problems in Continuous and Binary Variables B-469 Simplified Copositive and Lagrangian Relaxations for Linearly Constrained Qadratic Optimization Problems in Continos and Binary Variables Naohiko Arima, Snyong Kim and Masakaz Kojima October 2012,

More information

Section 7.4: Integration of Rational Functions by Partial Fractions

Section 7.4: Integration of Rational Functions by Partial Fractions Section 7.4: Integration of Rational Fnctions by Partial Fractions This is abot as complicated as it gets. The Method of Partial Fractions Ecept for a few very special cases, crrently we have no way to

More information

Classify by number of ports and examine the possible structures that result. Using only one-port elements, no more than two elements can be assembled.

Classify by number of ports and examine the possible structures that result. Using only one-port elements, no more than two elements can be assembled. Jnction elements in network models. Classify by nmber of ports and examine the possible strctres that reslt. Using only one-port elements, no more than two elements can be assembled. Combining two two-ports

More information

A generalized Alon-Boppana bound and weak Ramanujan graphs

A generalized Alon-Boppana bound and weak Ramanujan graphs A generalized Alon-Boppana bond and weak Ramanjan graphs Fan Chng Department of Mathematics University of California, San Diego La Jolla, CA, U.S.A. fan@csd.ed Sbmitted: Feb 0, 206; Accepted: Jne 22, 206;

More information

Worst-case analysis of the LPT algorithm for single processor scheduling with time restrictions

Worst-case analysis of the LPT algorithm for single processor scheduling with time restrictions OR Spectrm 06 38:53 540 DOI 0.007/s009-06-043-5 REGULAR ARTICLE Worst-case analysis of the LPT algorithm for single processor schedling with time restrictions Oliver ran Fan Chng Ron Graham Received: Janary

More information

CONCERNING NONNEGATIVE MATRICES AND DOUBLY STOCHASTIC MATRICES

CONCERNING NONNEGATIVE MATRICES AND DOUBLY STOCHASTIC MATRICES PACIFIC JOURNAL OF MATHEMATICS Vol. 21, No. 2, 1967 CONCERNING NONNEGATIVE MATRICES AND DOUBLY STOCHASTIC MATRICES RICHARD SINKHORN AND PAUL KNOPP This paper is concerned with the condition for the convergence

More information

On the tree cover number of a graph

On the tree cover number of a graph On the tree cover nmber of a graph Chassidy Bozeman Minerva Catral Brendan Cook Oscar E. González Carolyn Reinhart Abstract Given a graph G, the tree cover nmber of the graph, denoted T (G), is the minimm

More information

A ROLE FOR DOUBLY STOCHASTIC MATRICES IN GRAPH THEORY

A ROLE FOR DOUBLY STOCHASTIC MATRICES IN GRAPH THEORY proceedings of the american mathematical society Volume 36, No. 2, December 1972 A ROLE FOR DOUBLY STOCHASTIC MATRICES IN GRAPH THEORY D. J. HARTFIEL AND J. W. SPELLMANN Abstract. This paper represents

More information

Some extensions of Alon s Nullstellensatz

Some extensions of Alon s Nullstellensatz Some extensions of Alon s Nllstellensatz arxiv:1103.4768v2 [math.co] 15 Ag 2011 Géza Kós Compter and Atomation Research Institte, Hngarian Acad. Sci; Dept. of Analysis, Eötvös Loránd Univ., Bdapest kosgeza@szta.h

More information

On a class of topological groups. Key Words: topological groups, linearly topologized groups. Contents. 1 Introduction 25

On a class of topological groups. Key Words: topological groups, linearly topologized groups. Contents. 1 Introduction 25 Bol. Soc. Paran. Mat. (3s.) v. 24 1-2 (2006): 25 34. c SPM ISNN-00378712 On a class of topological grops Dinamérico P. Pombo Jr. abstract: A topological grop is an SNS-grop if its identity element possesses

More information

THE MATRIX EQUATION AXB = X

THE MATRIX EQUATION AXB = X PACIFIC JOURNAL OF MATHEMATICS Vol. 36, No. 3, 1971 THE MATRIX EQUATION AXB = X D. J. HARTFIEL This paper considers the solutions of the matrix equation AXB = X where we specify A and B to be ^-square

More information

Control Systems

Control Systems 6.5 Control Systems Last Time: Introdction Motivation Corse Overview Project Math. Descriptions of Systems ~ Review Classification of Systems Linear Systems LTI Systems The notion of state and state variables

More information

RESOLUTION OF INDECOMPOSABLE INTEGRAL FLOWS ON A SIGNED GRAPH

RESOLUTION OF INDECOMPOSABLE INTEGRAL FLOWS ON A SIGNED GRAPH RESOLUTION OF INDECOMPOSABLE INTEGRAL FLOWS ON A SIGNED GRAPH BEIFANG CHEN, JUE WANG, AND THOMAS ZASLAVSKY Abstract. It is well-known that each nonnegative integral flow of a directed graph can be decomposed

More information

An upper bound for the size of the largest antichain. in the poset of partitions of an integer. University of Georgia.

An upper bound for the size of the largest antichain. in the poset of partitions of an integer. University of Georgia. An pper bond for the size of the largest antichain in the poset of partitions of an integer E. Rodney Caneld Department of Compter Science University of Georgia Athens, GA 3060, USA erc@cs.ga.ed Konrad

More information

DISJOINT PAIRS OF SETS AND INCIDENCE MATRICES

DISJOINT PAIRS OF SETS AND INCIDENCE MATRICES DISJOINT PAIRS OF SETS AND INCIDENCE MATRICES B MARVIN MARCUS AND HENRK MINC In a recent paper [1] investigating the repeated appearance of zeros in the powers of a mtrix the following purely combinatorial

More information

Vectors in Rn un. This definition of norm is an extension of the Pythagorean Theorem. Consider the vector u = (5, 8) in R 2

Vectors in Rn un. This definition of norm is an extension of the Pythagorean Theorem. Consider the vector u = (5, 8) in R 2 MATH 307 Vectors in Rn Dr. Neal, WKU Matrices of dimension 1 n can be thoght of as coordinates, or ectors, in n- dimensional space R n. We can perform special calclations on these ectors. In particlar,

More information

The Linear Quadratic Regulator

The Linear Quadratic Regulator 10 The Linear Qadratic Reglator 10.1 Problem formlation This chapter concerns optimal control of dynamical systems. Most of this development concerns linear models with a particlarly simple notion of optimality.

More information

When Closed Graph Manifolds are Finitely Covered by Surface Bundles Over S 1

When Closed Graph Manifolds are Finitely Covered by Surface Bundles Over S 1 Acta Mathematica Sinica, English Series 1999, Jan, Vol15, No1, p 11 20 When Closed Graph Manifolds are Finitely Covered by Srface Bndles Over S 1 Yan Wang Fengchn Y Department of Mathematics, Peking University,

More information

Graphs and Networks Lecture 5. PageRank. Lecturer: Daniel A. Spielman September 20, 2007

Graphs and Networks Lecture 5. PageRank. Lecturer: Daniel A. Spielman September 20, 2007 Graphs and Networks Lectre 5 PageRank Lectrer: Daniel A. Spielman September 20, 2007 5.1 Intro to PageRank PageRank, the algorithm reportedly sed by Google, assigns a nmerical rank to eery web page. More

More information

Canad. Math. Bll. Vol. 15 (4), A THEOREM IN THE PARTITION CALCULUS P. BY ERDŐS AND E. C. MILNER(') 1. Introdction If S is an ordered set we writ

Canad. Math. Bll. Vol. 15 (4), A THEOREM IN THE PARTITION CALCULUS P. BY ERDŐS AND E. C. MILNER(') 1. Introdction If S is an ordered set we writ Canad. Math. Bll. Vol. 17 ( 2 ), 1974 A THEOREM IN THE PARTITION CALCULUS CORRIGENDUM BY P. ERDŐS AND E. C. MILNER We are gratefl to Dr. A. Krse for drawing or attention to some misprints in [1], and also

More information

Conditions for Approaching the Origin without Intersecting the x-axis in the Liénard Plane

Conditions for Approaching the Origin without Intersecting the x-axis in the Liénard Plane Filomat 3:2 (27), 376 377 https://doi.org/.2298/fil7276a Pblished by Faclty of Sciences and Mathematics, University of Niš, Serbia Available at: http://www.pmf.ni.ac.rs/filomat Conditions for Approaching

More information

Setting The K Value And Polarization Mode Of The Delta Undulator

Setting The K Value And Polarization Mode Of The Delta Undulator LCLS-TN-4- Setting The Vale And Polarization Mode Of The Delta Undlator Zachary Wolf, Heinz-Dieter Nhn SLAC September 4, 04 Abstract This note provides the details for setting the longitdinal positions

More information

The Minimal Estrada Index of Trees with Two Maximum Degree Vertices

The Minimal Estrada Index of Trees with Two Maximum Degree Vertices MATCH Commnications in Mathematical and in Compter Chemistry MATCH Commn. Math. Compt. Chem. 64 (2010) 799-810 ISSN 0340-6253 The Minimal Estrada Index of Trees with Two Maximm Degree Vertices Jing Li

More information

FEA Solution Procedure

FEA Solution Procedure EA Soltion Procedre (demonstrated with a -D bar element problem) EA Procedre for Static Analysis. Prepare the E model a. discretize (mesh) the strctre b. prescribe loads c. prescribe spports. Perform calclations

More information

The Heat Equation and the Li-Yau Harnack Inequality

The Heat Equation and the Li-Yau Harnack Inequality The Heat Eqation and the Li-Ya Harnack Ineqality Blake Hartley VIGRE Research Paper Abstract In this paper, we develop the necessary mathematics for nderstanding the Li-Ya Harnack ineqality. We begin with

More information

Fixed points for discrete logarithms

Fixed points for discrete logarithms Fixed points for discrete logarithms Mariana Levin 1, Carl Pomerance 2, and and K. Sondararajan 3 1 Gradate Grop in Science and Mathematics Edcation University of California Berkeley, CA 94720, USA levin@berkeley.ed

More information

1 Undiscounted Problem (Deterministic)

1 Undiscounted Problem (Deterministic) Lectre 9: Linear Qadratic Control Problems 1 Undisconted Problem (Deterministic) Choose ( t ) 0 to Minimize (x trx t + tq t ) t=0 sbject to x t+1 = Ax t + B t, x 0 given. x t is an n-vector state, t a

More information

Characterizations of probability distributions via bivariate regression of record values

Characterizations of probability distributions via bivariate regression of record values Metrika (2008) 68:51 64 DOI 10.1007/s00184-007-0142-7 Characterizations of probability distribtions via bivariate regression of record vales George P. Yanev M. Ahsanllah M. I. Beg Received: 4 October 2006

More information

Part II. Martingale measres and their constrctions 1. The \First" and the \Second" fndamental theorems show clearly how \mar tingale measres" are impo

Part II. Martingale measres and their constrctions 1. The \First and the \Second fndamental theorems show clearly how \mar tingale measres are impo Albert N. Shiryaev (Stelov Mathematical Institte and Moscow State University) ESSENTIALS of the ARBITRAGE THEORY Part I. Basic notions and theorems of the \Arbitrage Theory" Part II. Martingale measres

More information

Graphs and Their. Applications (6) K.M. Koh* F.M. Dong and E.G. Tay. 17 The Number of Spanning Trees

Graphs and Their. Applications (6) K.M. Koh* F.M. Dong and E.G. Tay. 17 The Number of Spanning Trees Graphs and Their Applications (6) by K.M. Koh* Department of Mathematics National University of Singapore, Singapore 1 ~ 7543 F.M. Dong and E.G. Tay Mathematics and Mathematics EdOOation National Institte

More information

Chords in Graphs. Department of Mathematics Texas State University-San Marcos San Marcos, TX Haidong Wu

Chords in Graphs. Department of Mathematics Texas State University-San Marcos San Marcos, TX Haidong Wu AUSTRALASIAN JOURNAL OF COMBINATORICS Volme 32 (2005), Pages 117 124 Chords in Graphs Weizhen G Xingde Jia Department of Mathematics Texas State Uniersity-San Marcos San Marcos, TX 78666 Haidong W Department

More information

Elements of Coordinate System Transformations

Elements of Coordinate System Transformations B Elements of Coordinate System Transformations Coordinate system transformation is a powerfl tool for solving many geometrical and kinematic problems that pertain to the design of gear ctting tools and

More information

Research Article Uniqueness of Solutions to a Nonlinear Elliptic Hessian Equation

Research Article Uniqueness of Solutions to a Nonlinear Elliptic Hessian Equation Applied Mathematics Volme 2016, Article ID 4649150, 5 pages http://dx.doi.org/10.1155/2016/4649150 Research Article Uniqeness of Soltions to a Nonlinear Elliptic Hessian Eqation Siyan Li School of Mathematics

More information

Garret Sobczyk s 2x2 Matrix Derivation

Garret Sobczyk s 2x2 Matrix Derivation Garret Sobczyk s x Matrix Derivation Krt Nalty May, 05 Abstract Using matrices to represent geometric algebras is known, bt not necessarily the best practice. While I have sed small compter programs to

More information

L 1 -smoothing for the Ornstein-Uhlenbeck semigroup

L 1 -smoothing for the Ornstein-Uhlenbeck semigroup L -smoothing for the Ornstein-Uhlenbeck semigrop K. Ball, F. Barthe, W. Bednorz, K. Oleszkiewicz and P. Wolff September, 00 Abstract Given a probability density, we estimate the rate of decay of the measre

More information

Primes in the Semigroup of Non-Negative Matrices

Primes in the Semigroup of Non-Negative Matrices Linear and Multilinear Algebra, 1974, Vol. 2, pp. 135-140 Gordon and Breach Science Publishers Ltd. Printed in Great Britain Primes in the Semigroup of Non-Negative Matrices DANIEL J. RICHMAN and HANS

More information

Sign-reductions, p-adic valuations, binomial coefficients modulo p k and triangular symmetries

Sign-reductions, p-adic valuations, binomial coefficients modulo p k and triangular symmetries Sign-redctions, p-adic valations, binomial coefficients modlo p k and trianglar symmetries Mihai Prnesc Abstract According to a classical reslt of E. Kmmer, the p-adic valation v p applied to a binomial

More information

Xihe Li, Ligong Wang and Shangyuan Zhang

Xihe Li, Ligong Wang and Shangyuan Zhang Indian J. Pre Appl. Math., 49(1): 113-127, March 2018 c Indian National Science Academy DOI: 10.1007/s13226-018-0257-8 THE SIGNLESS LAPLACIAN SPECTRAL RADIUS OF SOME STRONGLY CONNECTED DIGRAPHS 1 Xihe

More information

Chapter 2 Introduction to the Stiffness (Displacement) Method. The Stiffness (Displacement) Method

Chapter 2 Introduction to the Stiffness (Displacement) Method. The Stiffness (Displacement) Method CIVL 7/87 Chater - The Stiffness Method / Chater Introdction to the Stiffness (Dislacement) Method Learning Objectives To define the stiffness matrix To derive the stiffness matrix for a sring element

More information

Decoder Error Probability of MRD Codes

Decoder Error Probability of MRD Codes Decoder Error Probability of MRD Codes Maximilien Gadolea Department of Electrical and Compter Engineering Lehigh University Bethlehem, PA 18015 USA E-mail: magc@lehighed Zhiyan Yan Department of Electrical

More information

When are Two Numerical Polynomials Relatively Prime?

When are Two Numerical Polynomials Relatively Prime? J Symbolic Comptation (1998) 26, 677 689 Article No sy980234 When are Two Nmerical Polynomials Relatively Prime? BERNHARD BECKERMANN AND GEORGE LABAHN Laboratoire d Analyse Nmériqe et d Optimisation, Université

More information

Formules relatives aux probabilités qui dépendent de très grands nombers

Formules relatives aux probabilités qui dépendent de très grands nombers Formles relatives ax probabilités qi dépendent de très grands nombers M. Poisson Comptes rends II (836) pp. 603-63 In the most important applications of the theory of probabilities, the chances of events

More information

The Cryptanalysis of a New Public-Key Cryptosystem based on Modular Knapsacks

The Cryptanalysis of a New Public-Key Cryptosystem based on Modular Knapsacks The Cryptanalysis of a New Pblic-Key Cryptosystem based on Modlar Knapsacks Yeow Meng Chee Antoine Jox National Compter Systems DMI-GRECC Center for Information Technology 45 re d Ulm 73 Science Park Drive,

More information

The Lehmer matrix and its recursive analogue

The Lehmer matrix and its recursive analogue The Lehmer matrix and its recrsive analoge Emrah Kilic, Pantelimon Stănică TOBB Economics and Technology University, Mathematics Department 0660 Sogtoz, Ankara, Trkey; ekilic@etedtr Naval Postgradate School,

More information

Decision Making in Complex Environments. Lecture 2 Ratings and Introduction to Analytic Network Process

Decision Making in Complex Environments. Lecture 2 Ratings and Introduction to Analytic Network Process Decision Making in Complex Environments Lectre 2 Ratings and Introdction to Analytic Network Process Lectres Smmary Lectre 5 Lectre 1 AHP=Hierar chies Lectre 3 ANP=Networks Strctring Complex Models with

More information

THE HOHENBERG-KOHN THEOREM FOR MARKOV SEMIGROUPS

THE HOHENBERG-KOHN THEOREM FOR MARKOV SEMIGROUPS THE HOHENBERG-KOHN THEOREM FOR MARKOV SEMIGROUPS OMAR HIJAB Abstract. At the basis of mch of comptational chemistry is density fnctional theory, as initiated by the Hohenberg-Kohn theorem. The theorem

More information

Homogeneous Liner Systems with Constant Coefficients

Homogeneous Liner Systems with Constant Coefficients Homogeneos Liner Systems with Constant Coefficients Jly, 06 The object of stdy in this section is where A is a d d constant matrix whose entries are real nmbers. As before, we will look to the exponential

More information

MEG 741 Energy and Variational Methods in Mechanics I

MEG 741 Energy and Variational Methods in Mechanics I MEG 74 Energ and Variational Methods in Mechanics I Brendan J. O Toole, Ph.D. Associate Professor of Mechanical Engineering Howard R. Hghes College of Engineering Universit of Nevada Las Vegas TBE B- (7)

More information

SUBORDINATION RESULTS FOR A CERTAIN SUBCLASS OF NON-BAZILEVIC ANALYTIC FUNCTIONS DEFINED BY LINEAR OPERATOR

SUBORDINATION RESULTS FOR A CERTAIN SUBCLASS OF NON-BAZILEVIC ANALYTIC FUNCTIONS DEFINED BY LINEAR OPERATOR italian jornal of pre and applied mathematics n. 34 215 375 388) 375 SUBORDINATION RESULTS FOR A CERTAIN SUBCLASS OF NON-BAZILEVIC ANALYTIC FUNCTIONS DEFINED BY LINEAR OPERATOR Adnan G. Alamosh Maslina

More information

1 The space of linear transformations from R n to R m :

1 The space of linear transformations from R n to R m : Math 540 Spring 20 Notes #4 Higher deriaties, Taylor s theorem The space of linear transformations from R n to R m We hae discssed linear transformations mapping R n to R m We can add sch linear transformations

More information

Second-Order Wave Equation

Second-Order Wave Equation Second-Order Wave Eqation A. Salih Department of Aerospace Engineering Indian Institte of Space Science and Technology, Thirvananthapram 3 December 016 1 Introdction The classical wave eqation is a second-order

More information

On relative errors of floating-point operations: optimal bounds and applications

On relative errors of floating-point operations: optimal bounds and applications On relative errors of floating-point operations: optimal bonds and applications Clade-Pierre Jeannerod, Siegfried M. Rmp To cite this version: Clade-Pierre Jeannerod, Siegfried M. Rmp. On relative errors

More information

CHANNEL SELECTION WITH RAYLEIGH FADING: A MULTI-ARMED BANDIT FRAMEWORK. Wassim Jouini and Christophe Moy

CHANNEL SELECTION WITH RAYLEIGH FADING: A MULTI-ARMED BANDIT FRAMEWORK. Wassim Jouini and Christophe Moy CHANNEL SELECTION WITH RAYLEIGH FADING: A MULTI-ARMED BANDIT FRAMEWORK Wassim Joini and Christophe Moy SUPELEC, IETR, SCEE, Avene de la Bolaie, CS 47601, 5576 Cesson Sévigné, France. INSERM U96 - IFR140-

More information

FOUNTAIN codes [3], [4] provide an efficient solution

FOUNTAIN codes [3], [4] provide an efficient solution Inactivation Decoding of LT and Raptor Codes: Analysis and Code Design Francisco Lázaro, Stdent Member, IEEE, Gianligi Liva, Senior Member, IEEE, Gerhard Bach, Fellow, IEEE arxiv:176.5814v1 [cs.it 19 Jn

More information

Lemma 8: Suppose the N by N matrix A has the following block upper triangular form:

Lemma 8: Suppose the N by N matrix A has the following block upper triangular form: 17 4 Determinants and the Inverse of a Square Matrix In this section, we are going to use our knowledge of determinants and their properties to derive an explicit formula for the inverse of a square matrix

More information

Decoder Error Probability of MRD Codes

Decoder Error Probability of MRD Codes Decoder Error Probability of MRD Codes Maximilien Gadolea Department of Electrical and Compter Engineering Lehigh University Bethlehem, PA 18015 USA E-mail: magc@lehigh.ed Zhiyan Yan Department of Electrical

More information

4.4 Moment of a Force About a Line

4.4 Moment of a Force About a Line 4.4 Moment of a orce bot a Line 4.4 Moment of a orce bot a Line Eample 1, page 1 of 3 1. orce is applied to the end of gearshift lever DE. Determine the moment of abot shaft. State which wa the lever will

More information

GRAY CODES FAULTING MATCHINGS

GRAY CODES FAULTING MATCHINGS Uniersity of Ljbljana Institte of Mathematics, Physics and Mechanics Department of Mathematics Jadranska 19, 1000 Ljbljana, Sloenia Preprint series, Vol. 45 (2007), 1036 GRAY CODES FAULTING MATCHINGS Darko

More information

Solving a System of Equations

Solving a System of Equations Solving a System of Eqations Objectives Understand how to solve a system of eqations with: - Gass Elimination Method - LU Decomposition Method - Gass-Seidel Method - Jacobi Method A system of linear algebraic

More information

Lecture Notes: Finite Element Analysis, J.E. Akin, Rice University

Lecture Notes: Finite Element Analysis, J.E. Akin, Rice University 9. TRUSS ANALYSIS... 1 9.1 PLANAR TRUSS... 1 9. SPACE TRUSS... 11 9.3 SUMMARY... 1 9.4 EXERCISES... 15 9. Trss analysis 9.1 Planar trss: The differential eqation for the eqilibrim of an elastic bar (above)

More information

UNIFORM INTEGRABILITY AND THE POINTWTSE ERGODIC THEOREM

UNIFORM INTEGRABILITY AND THE POINTWTSE ERGODIC THEOREM UNIFORM INTEGRABILITY AND THE POINTWTSE ERGODIC THEOREM YUJI ITO Let ix, 03, m) be a finite measure space. We shall denote by L*im) (1 èp< ) the Banach space of all real-valued (B-measurable functions/

More information

Remarks on strongly convex stochastic processes

Remarks on strongly convex stochastic processes Aeqat. Math. 86 (01), 91 98 c The Athor(s) 01. This article is pblished with open access at Springerlink.com 0001-9054/1/010091-8 pblished online November 7, 01 DOI 10.1007/s00010-01-016-9 Aeqationes Mathematicae

More information

UNCERTAINTY FOCUSED STRENGTH ANALYSIS MODEL

UNCERTAINTY FOCUSED STRENGTH ANALYSIS MODEL 8th International DAAAM Baltic Conference "INDUSTRIAL ENGINEERING - 19-1 April 01, Tallinn, Estonia UNCERTAINTY FOCUSED STRENGTH ANALYSIS MODEL Põdra, P. & Laaneots, R. Abstract: Strength analysis is a

More information

On integer matrices obeying certain matrix equations

On integer matrices obeying certain matrix equations University of Wollongong Research Online Faculty of Informatics - Papers (Archive) Faculty of Engineering and Information Sciences 1972 On integer matrices obeying certain matrix equations Jennifer Seberry

More information

9. Tensor product and Hom

9. Tensor product and Hom 9. Tensor prodct and Hom Starting from two R-modles we can define two other R-modles, namely M R N and Hom R (M, N), that are very mch related. The defining properties of these modles are simple, bt those

More information

Chapter 4 Linear Models

Chapter 4 Linear Models Chapter 4 Linear Models General Linear Model Recall signal + WG case: x[n] s[n;] + w[n] x s( + w Here, dependence on is general ow we consider a special case: Linear Observations : s( H + b known observation

More information

Growth rates of geometric grid classes of permutations

Growth rates of geometric grid classes of permutations Growth rates of geometric grid classes of permtations David Bevan Department of Mathematics and Statistics The Open University Milton Keynes, England David.Bevan@open.ac.k Sbmitted: Nov 17, 2014; Accepted:

More information

SF2972 Game Theory Exam with Solutions March 19, 2015

SF2972 Game Theory Exam with Solutions March 19, 2015 SF2972 Game Theory Exam with Soltions March 9, 205 Part A Classical Game Theory Jörgen Weibll an Mark Voornevel. Consier the following finite two-player game G, where player chooses row an player 2 chooses

More information

ON THE DENSITY OF SOME SEQUENCES OF INTEGERS P. ERDOS

ON THE DENSITY OF SOME SEQUENCES OF INTEGERS P. ERDOS ON THE DENSITY OF SOME SEQUENCES OF INTEGERS P. ERDOS Let ai

More information

Sources of Non Stationarity in the Semivariogram

Sources of Non Stationarity in the Semivariogram Sorces of Non Stationarity in the Semivariogram Migel A. Cba and Oy Leangthong Traditional ncertainty characterization techniqes sch as Simple Kriging or Seqential Gassian Simlation rely on stationary

More information

ASYMPTOTIC DISTRIBUTION OF THE MAXIMUM CUMULATIVE SUM OF INDEPENDENT RANDOM VARIABLES

ASYMPTOTIC DISTRIBUTION OF THE MAXIMUM CUMULATIVE SUM OF INDEPENDENT RANDOM VARIABLES ASYMPTOTIC DISTRIBUTION OF THE MAXIMUM CUMULATIVE SUM OF INDEPENDENT RANDOM VARIABLES KAI LAI CHUNG The limiting distribution of the maximum cumulative sum 1 of a sequence of independent random variables

More information

Lecture: Corporate Income Tax

Lecture: Corporate Income Tax Lectre: Corporate Income Tax Ltz Krschwitz & Andreas Löffler Disconted Cash Flow, Section 2.1, Otline 2.1 Unlevered firms Similar companies Notation 2.1.1 Valation eqation 2.1.2 Weak atoregressive cash

More information

A New Approach to Direct Sequential Simulation that Accounts for the Proportional Effect: Direct Lognormal Simulation

A New Approach to Direct Sequential Simulation that Accounts for the Proportional Effect: Direct Lognormal Simulation A ew Approach to Direct eqential imlation that Acconts for the Proportional ffect: Direct ognormal imlation John Manchk, Oy eangthong and Clayton Detsch Department of Civil & nvironmental ngineering University

More information

Geometry of Span (continued) The Plane Spanned by u and v

Geometry of Span (continued) The Plane Spanned by u and v Geometric Description of Span Geometr of Span (contined) 2 Geometr of Span (contined) 2 Span {} Span {, } 2 Span {} 2 Geometr of Span (contined) 2 b + 2 The Plane Spanned b and If a plane is spanned b

More information

ON THE COMMUTATOR SUBGROUP OF THE GENERAL LINEAR GROUP

ON THE COMMUTATOR SUBGROUP OF THE GENERAL LINEAR GROUP ON THE COMMUTATOR SUBGROUP OF THE GENERAL LINEAR GROUP O. LITOFF 1. Introduction. The theory of the general linear group has been developed most extensively for the case in which the matrix elements are

More information

Upper Bounds on the Spanning Ratio of Constrained Theta-Graphs

Upper Bounds on the Spanning Ratio of Constrained Theta-Graphs Upper Bonds on the Spanning Ratio of Constrained Theta-Graphs Prosenjit Bose and André van Renssen School of Compter Science, Carleton University, Ottaa, Canada. jit@scs.carleton.ca, andre@cg.scs.carleton.ca

More information

Lecture Notes On THEORY OF COMPUTATION MODULE - 2 UNIT - 2

Lecture Notes On THEORY OF COMPUTATION MODULE - 2 UNIT - 2 BIJU PATNAIK UNIVERSITY OF TECHNOLOGY, ODISHA Lectre Notes On THEORY OF COMPUTATION MODULE - 2 UNIT - 2 Prepared by, Dr. Sbhend Kmar Rath, BPUT, Odisha. Tring Machine- Miscellany UNIT 2 TURING MACHINE

More information

4.2 First-Order Logic

4.2 First-Order Logic 64 First-Order Logic and Type Theory The problem can be seen in the two qestionable rles In the existential introdction, the term a has not yet been introdced into the derivation and its se can therefore

More information

Chapter 5 Computational Methods for Mixed Models

Chapter 5 Computational Methods for Mixed Models Chapter 5 Comptational Methods for Mixed Models In this chapter we describe some of the details of the comptational methods for fitting linear mixed models, as implemented in the lme4 package, and the

More information

Introduction to Quantum Information Processing

Introduction to Quantum Information Processing Introdction to Qantm Information Processing Lectre 5 Richard Cleve Overview of Lectre 5 Review of some introdctory material: qantm states, operations, and simple qantm circits Commnication tasks: one qbit

More information

SOME NEW EXAMPLES OF INFINITE IMAGE PARTITION REGULAR MATRICES

SOME NEW EXAMPLES OF INFINITE IMAGE PARTITION REGULAR MATRICES #A5 INTEGERS 9 (29) SOME NEW EXAMPLES OF INFINITE IMAGE PARTITION REGULAR MATRIES Neil Hindman Department of Mathematics, Howard University, Washington, D nhindman@aolcom Dona Strauss Department of Pure

More information

Simulation investigation of the Z-source NPC inverter

Simulation investigation of the Z-source NPC inverter octoral school of energy- and geo-technology Janary 5 20, 2007. Kressaare, Estonia Simlation investigation of the Z-sorce NPC inverter Ryszard Strzelecki, Natalia Strzelecka Gdynia Maritime University,

More information

SPECTRAL ORDER PRESERVING MATRICES AND MUIRHEAD'S THEOREM

SPECTRAL ORDER PRESERVING MATRICES AND MUIRHEAD'S THEOREM TRANSACTIONS OF THE AMERICAN MATHEMATICAL SOCIETY Volume 200, 1974 SPECTRAL ORDER PRESERVING MATRICES AND MUIRHEAD'S THEOREM BY KONG-MING chongo.1) ABSTRACT. In this paper, a characterization is given

More information

Lab Manual for Engrd 202, Virtual Torsion Experiment. Aluminum module

Lab Manual for Engrd 202, Virtual Torsion Experiment. Aluminum module Lab Manal for Engrd 202, Virtal Torsion Experiment Alminm modle Introdction In this modle, o will perform data redction and analsis for circlar cross section alminm samples. B plotting the torqe vs. twist

More information

Cubic graphs have bounded slope parameter

Cubic graphs have bounded slope parameter Cbic graphs have bonded slope parameter B. Keszegh, J. Pach, D. Pálvölgyi, and G. Tóth Agst 25, 2009 Abstract We show that every finite connected graph G with maximm degree three and with at least one

More information

Momentum Equation. Necessary because body is not made up of a fixed assembly of particles Its volume is the same however Imaginary

Momentum Equation. Necessary because body is not made up of a fixed assembly of particles Its volume is the same however Imaginary Momentm Eqation Interest in the momentm eqation: Qantification of proplsion rates esign strctres for power generation esign of pipeline systems to withstand forces at bends and other places where the flow

More information

MAXIMAL SEPARABLE SUBFIELDS OF BOUNDED CODEGREE

MAXIMAL SEPARABLE SUBFIELDS OF BOUNDED CODEGREE proceedings of the american mathematical society Volume 88. Number I, May 1983 MAXIMAL SEPARABLE SUBFIELDS OF BOUNDED CODEGREE JAMES K. DEVENEY AND JOHN N. MORDESON Abstract. Let L be a function field

More information

Subcritical bifurcation to innitely many rotating waves. Arnd Scheel. Freie Universitat Berlin. Arnimallee Berlin, Germany

Subcritical bifurcation to innitely many rotating waves. Arnd Scheel. Freie Universitat Berlin. Arnimallee Berlin, Germany Sbcritical bifrcation to innitely many rotating waves Arnd Scheel Institt fr Mathematik I Freie Universitat Berlin Arnimallee 2-6 14195 Berlin, Germany 1 Abstract We consider the eqation 00 + 1 r 0 k2

More information

On the circuit complexity of the standard and the Karatsuba methods of multiplying integers

On the circuit complexity of the standard and the Karatsuba methods of multiplying integers On the circit complexity of the standard and the Karatsba methods of mltiplying integers arxiv:1602.02362v1 [cs.ds] 7 Feb 2016 Igor S. Sergeev The goal of the present paper is to obtain accrate estimates

More information

Lecture 5 November 6, 2012

Lecture 5 November 6, 2012 Hypercbe problems Lectre 5 Noember 6, 2012 Lectrer: Petr Gregor Scribe by: Kryštof Měkta Updated: Noember 22, 2012 1 Partial cbes A sbgraph H of G is isometric if d H (, ) = d G (, ) for eery, V (H); that

More information

Symbol R R + C Table : Notation Meaning Set of all real nmbers Set of positive real nmbers Set of all complex nmbers A(s) T, conjgate transpose A(s) Λ

Symbol R R + C Table : Notation Meaning Set of all real nmbers Set of positive real nmbers Set of all complex nmbers A(s) T, conjgate transpose A(s) Λ EESystems Department, University of Sothern California. March 000. Mltiplier IQCs for Uncertain Time-delays Myngsoo Jn and Michael G. Safonov Dept. of Electrical Engineering Systems University of Sothern

More information

PRODUCTS OF INDECOMPOSABLE, APERIODIC, STOCHASTIC MATRICES1 J. WOLFOWITZ

PRODUCTS OF INDECOMPOSABLE, APERIODIC, STOCHASTIC MATRICES1 J. WOLFOWITZ PRODUCTS OF INDECOMPOSABLE, APERIODIC, STOCHASTIC MATRICES1 J. WOLFOWITZ 1. Introduction. A finite square matrix P ={/»«} is called stochastic if pij^q for all i, j, and Hipa=l for all i. A stochastic

More information